Bibliographic record
Abstract
Shiny texturized black ink is raised off the white paper. An elaborate border surrounds the central image. The border has two thin black lines on the outside and then has a series of repeating leafy floral shapes. The floral design is quite pointed and recurs in square sections all around the border. At each corner the design points out towards the corner. The inside of the border is surrounded by a thick black line. At the top of the border, an unfurled banner that is wider than the border sites atop of it. Text is printed in capitalized, block serif font. Below the ribbon, within the borders, is a picture of two monks looking at a large book with text and illustrations. One monk is standing in shadow, his back illuminated by the sunlight streaming in from a window outside the frame on the right side of the bookplate. At the forefront is a seated monk, also with his back to the sun, who is holding the book open while the other monk points at a section. The monk is sitting in a wooden chair with small cutout designs on the back. The table is also wooden and is covered with other books and a feather quill in an inkwell. In front of the desk, a large book with a decorative cover rests against the table leg. To the left of the book is a plain vase. At the base of the image, atop the lower portion of the border, is another ribbon featuring text printed in black, sentence case, serif font.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.806 | 0.778 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".